CN105787287B - A kind of system, unit and method generating list data - Google Patents
A kind of system, unit and method generating list data Download PDFInfo
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- CN105787287B CN105787287B CN201610299038.2A CN201610299038A CN105787287B CN 105787287 B CN105787287 B CN 105787287B CN 201610299038 A CN201610299038 A CN 201610299038A CN 105787287 B CN105787287 B CN 105787287B
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Abstract
The present invention discloses a kind of system, unit and method generating list data.The system includes：Client, the evaluation behavioral data for uploading the different dimensions inputted to setting object to server, wherein the evaluation behavioral data of the different dimensions corresponds to different evaluation score value；Server, the evaluation behavioral data to the different dimensions to setting object input for being uploaded according to client, determine the corresponding evaluation score value of evaluation behavioral data of setting object, the evaluation score value total value of the different evaluation behavioral data of the setting object is determined according to setting rule, according to the evaluation score value total value of different set object, the list data of different set object seniority among brothers and sisters are generated.Scheme provided by the invention can more really reflect user's operation result.
Description
Technical field
The present invention relates to mobile internet technical fields, and in particular to a kind of to generate the systems of list data, unit
And method.
Background technology
Currently, as game and the continuous development of show business, many companies are all proposed various seniority among brothers and sisters lists
To attract user to pay close attention to and participate in.In internet gaming industry, the trend of game abused amusement is presented at present, wherein general amusement
Star's bean vermicelli/Quadratic Finite Element in layout etc. is all important developing direction.Wherein, the various lists released to user include for example
Star's list, star's works list, game list etc..So-called list refers to for example identifying ID to certain setting objects by score
Sequence.ID can be people, works etc., and wherein people includes but not limited to famous person, star, Quadratic Finite Element personage etc., and works include but not
It is limited to films and television programs, Quadratic Finite Element works, video work etc..User can change list, so-called ballot i.e. user by ballot
The behavior operation carried out to allow list ranking to generate variation.
By taking certain star's list as an example, star is generated to the polled data of star according to user and ranks moon list, star ranks the moon
Voting behavior in list includes the voting behavior and do not increase that point only interaction is not counted in ballot throw away egg behavior of registering increased point.Wherein,
If the voting behavior of user is to throw away egg behavior, the declining profit affection need of the negative sense to the ID that votes, but existing skill have been expressed
This voting behavior is not counted in the calculating of list ranking voting rule score when art generates list.That is, existing generation
The method of list data only only accounts for the unidirectional evaluation rule of user, such as only considers voter to by throwing person's degree of recognition
Gain rule, do not embody the evaluation rule of negative sense.
Therefore, the existing method for generating list data can not really reflect user's operation result.
Invention content
In order to solve the above technical problems, the present invention provides a kind of system, unit and method generating list data,
It can more really reflect user's operation result.
According to an aspect of the present invention, a kind of system generating list data is provided, including：
Client, the evaluation behavioral data for uploading the different dimensions inputted to setting object to server, wherein institute
The evaluation behavioral data for stating different dimensions corresponds to different evaluation score value；
Server, the evaluation behavioral data to the different dimensions to setting object input for being uploaded according to client,
The corresponding evaluation score value of evaluation behavioral data for determining setting object determines that the difference of the setting object is commented according to setting rule
The evaluation score value total value of valence behavioral data generates different set object according to the evaluation score value total value of different set object
The list data of seniority among brothers and sisters.
According to another aspect of the present invention, a kind of server is provided, including：Memory and processor,
The memory stores the list generated to the evaluation behavioral data and processor of the different dimensions of setting object input
Forms data；
The processor, according to the evaluation behavior of the different dimensions to setting object input got from the memory
Data determine the corresponding evaluation score value of evaluation behavioral data of setting object, wherein the evaluation behavioral data of the different dimensions
Corresponding different evaluation score value；Determine that the evaluation score value of the different evaluation behavioral data of the setting object is total according to setting rule
Value；According to the evaluation score value total value of different set object, the list data of different set object seniority among brothers and sisters are generated.
According to another aspect of the present invention, a kind of device generating list data is provided, including：
Grading module is determined for the evaluation behavioral data in response to getting the different dimensions to setting object input
The corresponding evaluation score value of evaluation behavioral data for setting object, wherein the evaluation behavioral data of the different dimensions corresponds to difference and comments
Valence score value；
Statistical module, the different evaluation behavior of the setting object for determining institute's scoring module determination according to setting rule
The total value of the evaluation score value of data；
Generation module, the total value of the evaluation score value of the different set object for being determined according to the statistical module,
Generate the list data of different set object seniority among brothers and sisters.
Preferably, institute's scoring module includes：
Acquisition submodule, for getting the evaluation behavioral data positively or negatively to setting object input, institute's commentary
Valence behavioral data includes affective style and corresponding affective style operation data；
Score value determination sub-module determines commenting for setting object for the evaluation behavioral data according to the acquisition submodule
The corresponding evaluation score value of valence behavioral data, wherein the evaluation behavioral data of the different dimensions corresponds to different evaluation score value.
Preferably, the score value determination sub-module is set according to affective style operation data and single operation evaluation score value determination
Determine the corresponding evaluation score value of evaluation behavioral data of object.
Preferably, the statistical module includes：
Weight submodule, the weight for affective style operation data to be arranged；
Total value determination sub-module, the weight for being arranged according to the weight submodule, to the difference of the setting object
Acquisition evaluation score value total value is weighted in the evaluation score value of evaluation behavioral data.
Preferably, the total value determination sub-module obtains evaluation score value total value in the following manner：
The quantity * single gain behaviors score of evaluation score value total value=gain behavior weight * gain behaviors of setting object+
The quantity * single declining profit behaviors score of declining profit behavior weight * declining profit behaviors+double gain behavior weight * doubles gain behavior
Quantity * singles, which double gain behavior score+double declining profit behavior weight *, to be doubled the quantity * singles of declining profit behavior and doubles declining profit row
For score.
Preferably, described device further includes：
Memory module, the evaluation behavioral data of the different dimensions to setting object input for storing client upload；
Module is issued, for issuing the list that the different set object that the generation module generates is ranked to the client
Data for customer end is shown.
According to another aspect of the present invention, a kind of method generating list data is provided, which is characterized in that including：
In response to getting the evaluation behavioral data of the different dimensions to setting object input, the evaluation of setting object is determined
The corresponding evaluation score value of behavioral data, wherein the evaluation behavioral data of the different dimensions corresponds to different evaluation score value；
The evaluation score value total value of the different evaluation behavioral data of the setting object is determined according to setting rule；
According to the evaluation score value total value of different set object, the list data of different set object seniority among brothers and sisters are generated.
Preferably, described to include to the evaluation behavioral data of the different dimensions of setting object input in response to getting：It rings
Ying Yu gets the evaluation behavioral data positively or negatively to setting object input, and the evaluation behavioral data includes emotion class
Type and corresponding affective style operation data.
Preferably, different levels are arranged in the affective style, and the affective style of different levels corresponds to different affective styles
Operation data evaluates score value.
Preferably, the affective style setting different levels include：Affective style is set as gain, declining profit, doubles gain
With double declining profit；The corresponding affective style operation data of the affective style includes gain behavior, declining profit behavior, doubles gain row
For with double declining profit behavior.
Preferably, the corresponding evaluation score value of evaluation behavioral data of the determining setting object includes：
Determine that the evaluation behavioral data of setting object corresponds to according to affective style operation data and single operation evaluation score value
Evaluation score value.
Preferably, described to determine that the evaluation score value of the different evaluation behavioral data of the setting object is total according to setting rule
Value includes：Acquisition evaluation score value is weighted according to the evaluation score value of the different evaluation behavioral data to the setting object
Total value.
Preferably, the evaluation score value of the different evaluation behavioral data of the setting object is weighted in the basis
Obtaining evaluation score value total value includes：Set the quantity * singles of evaluation score value total value=gain behavior weight * gain behaviors of object
Gain behavior score+the quantity * single declining profit behavior scores of declining profit behavior weight * declining profit behaviors+doubles gain behavior weight * and adds
The quantity * singles of times gain behavior double gain behavior score+double declining profit behavior weight * double declining profit behavior quantity * it is mono-
It is secondary to double declining profit behavior score.
Preferably, described to include to the evaluation behavioral data of the different dimensions of setting object input in response to getting：It rings
Ying Yu gets the evaluation behavioral data of the different dimensions to setting object input of client upload；
Further include after the list data for generating different set object seniority among brothers and sisters：The difference is issued to the client
The list data for customer end of setting object seniority among brothers and sisters is shown.
It can be found that the technical solution of the embodiment of the present invention, what is got is the different dimensions to setting object input
Behavioral data is evaluated, the evaluation behavioral data of these different dimensions corresponds to different evaluation score value, in the evaluation for determining setting object
It can all be considered to be included in when the corresponding evaluation score value of behavioral data, therefore can be unidirectional to avoid when scoring in the prior art only considering
Dimension evaluates the problem of score value, can make the different dimensions of user are evaluated can all counted such as being evaluated forward direction evaluation or negative sense
It is embodied when calculating evaluation score value, the operating result of more acurrate reflection user.
Further, the evaluation behavioral data of the different dimensions of the embodiment of the present invention may include evaluation positively or negatively
Behavioral data, it may include affective style and corresponding operation data to evaluate in behavioral data, and wherein affective style can be set again
Different levels are set, the affective style of different levels corresponds to different affective style operation data evaluation score values, such as affective style
Gain, declining profit are could be provided as, gain is doubled and doubles four levels of declining profit but not limited to this；The corresponding feelings of the affective style
Sense type operations data include gain behavior, declining profit behavior, double gain behavior and double declining profit behavior etc..
Further, the weight of setting affective style operation data can be arranged in the embodiment of the present invention, right according to the weight
Acquisition evaluation score value total value is weighted in the evaluation score value of the different evaluation behavioral data of the setting object so that operation
As a result more accurate.
Description of the drawings
Disclosure illustrative embodiments are described in more detail in conjunction with the accompanying drawings, the disclosure above-mentioned and its
Its purpose, feature and advantage will be apparent, wherein in disclosure illustrative embodiments, identical reference label
Typically represent same parts.
Fig. 1 is a kind of schematic block diagram of system generating list data according to an embodiment of the invention；
Fig. 2 is a kind of schematic block diagram of server according to an embodiment of the invention；
Fig. 3 is a kind of schematic block diagram of device generating list data according to an embodiment of the invention；
Fig. 4 is a kind of another schematic block of device generating list data according to an embodiment of the invention
Figure；
Fig. 5 is a kind of schematic flow chart of method generating list data according to an embodiment of the invention；
Fig. 6 is a kind of another schematic flow of method generating list data according to an embodiment of the invention
Figure；
Fig. 7 is a kind of list schematic diagram according to an embodiment of the invention.
Specific implementation mode
The preferred embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Preferred embodiment, however, it is to be appreciated that may be realized in various forms the disclosure without the embodiment party that should be illustrated here
Formula is limited.On the contrary, these embodiments are provided so that the disclosure is more thorough and complete, and can be by the disclosure
Range is completely communicated to those skilled in the art.
The present invention provides a kind of system generating list data, can more really reflect user's operation result.
Fig. 1 is a kind of schematic block diagram of system generating list data according to an embodiment of the invention.
As shown in Figure 1, including in a kind of system 10 generating list data：Client 11 and server 12.
Client 11, the evaluation behavioral data for uploading the different dimensions inputted to setting object to server 12,
Described in the evaluation behavioral datas of different dimensions correspond to different evaluation score value.
Server 12, the evaluation behavior number to the different dimensions to setting object input for being uploaded according to client 11
According to the corresponding evaluation score value of evaluation behavioral data of determining setting object determines the setting object not according to setting rule
Different set is generated according to the evaluation score value total value of different set object with the evaluation score value total value of evaluation behavioral data
The list data of object seniority among brothers and sisters.
Server in above system may refer to shown in Fig. 2, and Fig. 2 is a kind of clothes according to an embodiment of the invention
The schematic block diagram of business device.
As shown in Fig. 2, may include in a kind of server 20：Memory 21 and processor 22.
The memory 21 is stored and is generated to the evaluation behavioral data and processor 22 of the different dimensions of setting object input
List data.
The processor 22, according to the evaluation of the different dimensions to setting object input got from the memory 21
Behavioral data determines the corresponding evaluation score value of evaluation behavioral data of setting object, wherein the evaluation behavior of the different dimensions
Data correspond to different evaluation score value；The evaluation score value of the different evaluation behavioral data of the setting object is determined according to setting rule
Total value；According to the evaluation score value total value of different set object, the list data of different set object seniority among brothers and sisters are generated.
Processor 22 in server can be used as an independent apparatus structure, the independent apparatus structure that can claim
For a kind of device generating list data, the device of the generation list data may include multiple submodule, hereafter will be to the life
It is described in detail at the apparatus structure of list data.
Fig. 3 is a kind of schematic block diagram of device generating list data according to an embodiment of the invention.
As shown in figure 3, may include in a kind of device 30 generating list data：Grading module 31, statistical module 32,
Generation module 33.
Grading module 31, for the evaluation behavioral data in response to getting the different dimensions to setting object input, really
Surely the corresponding evaluation score value of evaluation behavioral data of object is set, wherein the evaluation behavioral data of the different dimensions corresponds to difference
Evaluate score value.
Statistical module 32, the different evaluation of the setting object for determining 31 determination of institute's scoring module according to setting rule
The total value of the evaluation score value of behavioral data.
Generation module 33, the evaluation score value of the different set object for being determined according to the statistical module 32 it is total
Value generates the list data of different set object seniority among brothers and sisters.
It can be found that the technical solution of the embodiment of the present invention, what is got is the different dimensions to setting object input
Behavioral data is evaluated, the evaluation behavioral data of these different dimensions corresponds to different evaluation score value, in the evaluation for determining setting object
It can all be considered to be included in when the corresponding evaluation score value of behavioral data, therefore can be unidirectional to avoid when scoring in the prior art only considering
Dimension evaluates the problem of score value, can make the different dimensions of user are evaluated can all counted such as being evaluated forward direction evaluation or negative sense
It is embodied when calculating evaluation score value, the operating result of more acurrate reflection user.
Fig. 4 is a kind of another schematic block of device generating list data according to an embodiment of the invention
Figure.
As shown in figure 4, may include in a kind of device 30 generating list data：Grading module 31, statistical module 32,
Generation module 33, memory module 34 issue module 35, wherein grading module 31, statistical module 32, generation module 33 function can
Described by Fig. 3, details are not described herein again.
Wherein, institute's scoring module 31 may include：Acquisition submodule 311, score value determination sub-module 312.
Acquisition submodule 311, it is described for getting the evaluation behavioral data positively or negatively to setting object input
It includes affective style and corresponding affective style operation data to evaluate behavioral data.
Score value determination sub-module 312 determines setting pair for the evaluation behavioral data according to the acquisition submodule 311
The corresponding evaluation score value of evaluation behavioral data of elephant, wherein the evaluation behavioral data of the different dimensions corresponds to different evaluation point
Value.
Wherein the score value determination sub-module 312 can be true according to affective style operation data and single operation evaluation score value
Surely the corresponding evaluation score value of evaluation behavioral data of object is set.
Wherein, the statistical module 32 may include：Weight submodule 321, total value determination sub-module 322.
Weight submodule 321, the weight for affective style operation data to be arranged.
Total value determination sub-module 322, the weight for being arranged according to the weight submodule 321, to the setting object
Different evaluation behavioral data evaluation score value be weighted acquisition evaluation score value total value.
Wherein, the total value determination sub-module 322 obtains evaluation score value total value in the following manner：
The quantity * single gain behaviors score of evaluation score value total value=gain behavior weight * gain behaviors of setting object+
The quantity * single declining profit behaviors score of declining profit behavior weight * declining profit behaviors+double gain behavior weight * doubles gain behavior
Quantity * singles, which double gain behavior score+double declining profit behavior weight *, to be doubled the quantity * singles of declining profit behavior and doubles declining profit row
For score.
It should be noted that it is also contemplated that carrying out operation without using weight.
Wherein, the memory module 34, the different dimensions to setting object input for storing client upload are commented
Valence behavioral data.
Wherein, described to issue module 35, for issuing the different set that the generation module 33 generates to the client
The list data for customer end of object seniority among brothers and sisters is shown.
System, equipment and the device of a kind of above-mentioned generation list data for describing the present invention in detail, introduced below hair
The bright corresponding method for generating list data.
Fig. 5 is a kind of schematic flow chart of method generating list data according to an embodiment of the invention.
As shown in figure 5, in step 501, in response to getting the evaluation behavior of the different dimensions to setting object input
Data determine the corresponding evaluation score value of evaluation behavioral data of setting object, wherein the evaluation behavioral data of the different dimensions
Corresponding different evaluation score value.
The step can be by the device of the generation list data in server in response to getting to setting object input
The evaluation behavioral data of different dimensions determines the corresponding evaluation score value of evaluation behavioral data of setting object, wherein the difference
The evaluation behavioral data of dimension corresponds to different evaluation score value.In the server but not office can be arranged by generating the device of list data
It is limited to this.
Wherein, the step can in response to get to setting object input evaluation behavioral data positively or negatively,
The evaluation behavioral data includes affective style and corresponding affective style operation data.Wherein, the affective style can be set
Different levels are set, the affective style of different levels corresponds to different affective style operation data evaluation score values.
Wherein, the affective style setting different levels may include：Affective style is set as gain, declining profit, doubles to increase
Benefit and double declining profit；The corresponding affective style operation data of the affective style includes gain behavior, declining profit behavior, doubles gain
Behavior and double declining profit behavior.
In the step, the evaluation of setting object can be determined according to affective style operation data and single operation evaluation score value
The corresponding evaluation score value of behavioral data.
In step 502, the evaluation score value of the different evaluation behavioral data of the setting object is determined according to setting rule
Total value.
The step can determine the setting object by the device of the generation list data in server according to setting rule
Different evaluation behavioral data evaluation score value total value.
In the step, fortune can be weighted according to the evaluation score value of the different evaluation behavioral data to the setting object
It calculates and obtains evaluation score value total value.
Wherein, it is weighted and is commented according to the evaluation score value of the different evaluation behavioral data to the setting object
Valence score value total value includes：Set the quantity * single gain rows of evaluation score value total value=gain behavior weight * gain behaviors of object
For score ,+the quantity * single declining profit behavior scores of declining profit behavior weight * declining profit behaviors+doubles gain behavior weight * and doubles gain
The quantity * singles of behavior, which double gain behavior score+double declining profit behavior weight *, to be doubled the quantity * singles of declining profit behavior and doubles
Declining profit behavior score.
It should be noted that it is also contemplated that carrying out operation without using weight.
In step 503, according to the evaluation score value total value of different set object, different set object seniority among brothers and sisters is generated
List data.
The step can be by the device of the generation list data in server according to the evaluation of different set object point
It is worth total value, generates the list data of different set object seniority among brothers and sisters.
It can be found that the technical solution of the embodiment of the present invention, what is got is the different dimensions to setting object input
Behavioral data is evaluated, the evaluation behavioral data of these different dimensions corresponds to different evaluation score value, in the evaluation for determining setting object
It can all be considered to be included in when the corresponding evaluation score value of behavioral data, therefore can be unidirectional to avoid when scoring in the prior art only considering
Dimension evaluates the problem of score value, can make the different dimensions of user are evaluated can all counted such as being evaluated forward direction evaluation or negative sense
It is embodied when calculating evaluation score value, the operating result of more acurrate reflection user.
Fig. 6 is a kind of another schematic flow of method generating list data according to an embodiment of the invention
Figure.
The technical solution of the embodiment of the present invention is described in more detail relative to Fig. 5 by Fig. 6.With client and server in Fig. 6
Interact illustration.In the embodiment, user end to server reports the evaluation ballot affective style of object and corresponding
Affective style operation data, wherein affective style operation data include gain behavior, declining profit behavior, double gain behavior and double
Declining profit behavior, server determine the evaluation score value of each ballot object according to affective style operation data and preset setting rule
Total value generates list data according to the evaluation score value total value of each ballot object, and is handed down to client and is shown to user.
As shown in fig. 6, in step 601, list data are shown to user in client.
In the step, client to user show list data, such as show various star's lists, star's works list,
Game list etc. shows that the ballot object in ballot object, such as star's list is exactly star in each list.
In step 602, client obtains evaluation behavior of the user to the different dimensions of ballot object input at list
Data.
The evaluation behavioral data of different dimensions said herein, such as the evaluation row of positively or negatively two dimensions can be divided into
For data.User carries out ballot object at the list that client is shown the voting behavior of certain emotion, that is, input evaluation
Behavior, client obtain the evaluation behavioral data to ballot object input.Voting behavior said herein is for example exactly to send flower or throw away
Different operations such as egg, such as flower is sent to indicate to like, are the evaluation behaviors of positive dimension, namely positive negative sense gain affection need；
It throws away egg expression not liking, is evaluation behavior namely the declining profit affection need of negative sense of negative sense dimension.
In step 603, evaluation behavior of the user end to server upload user to the different dimensions of ballot object input
Data.
In the step user end to server upload evaluation behavioral data, may include：Affective style and corresponding feelings
Feel type operations data.Different levels can be arranged in affective style, and the affective style of different levels corresponds to different affective styles
Operation data evaluates score value.Such as affective style can be divided into four kinds of affective styles but not limited to this, such as affective style sets
It is set to gain, declining profit, gain is doubled, doubles declining profit.The corresponding affective style operation data of affective style can be corresponded to including increasing
Beneficial behavior, declining profit behavior double gain behavior and double declining profit behavior.It should be noted that each affective style operation data
Several different expression ways can be corresponded to, such as gain behavior can be sent flower or send the heart, send cake etc., the present invention is implemented
Example is not limited.
In step 604, the evaluation behavioral data that server is uploaded according to client determines the evaluation behavior of ballot object
The corresponding evaluation score value of data, and determine that the evaluation score value of the different evaluation behavioral data of ballot object is total according to setting rule
Value.
Server receives the evaluation behavioral data that client uploads and is stored.Server can receive each client
The evaluation behavioral data to object of voting uploaded, is uniformly stored for subsequent arithmetic.
The step can determine the evaluation row of setting object according to affective style operation data and single operation evaluation score value
For the corresponding evaluation score value of data, for example, the affective style of evaluation behavioral data is gain, corresponding affective style operation data
It is gain behavior, then evaluation score value=gain behavior quantity * single gain behavior scores of evaluation behavioral data.For example, increasing
Beneficial behavior is specifically to send to spend 2 for ballot object, and it is+1 point that single gain behavior score, which send a colored score value, then：It comments
Evaluation score value=2*1=2 of valence behavioral data points, i.e. user send two colored ballots to operate ballot object, corresponding evaluation
Score value is exactly+2 points.
Server further for example calculates the ballot in list according to setting rule according to the list computation rule of configuration
The evaluation score value total value of object.
Setting rule for example can be：
Evaluate the quantity * single gain rows of score value total value (i.e. list rank score)=gain behavior weight * gain behaviors
For score ,+the quantity * single declining profit behavior scores of declining profit behavior weight * declining profit behaviors+doubles gain behavior weight * and doubles gain
The quantity * singles of behavior, which double gain behavior score+double declining profit behavior weight *, to be doubled the quantity * singles of declining profit behavior and doubles
Declining profit behavior score.It is weighted by the way that weight is arranged, more accurate evaluation result can be obtained.
It should be noted that the embodiment of the present invention is it is also contemplated that be not provided with weight, i.e.,：
Evaluate quantity * single gain behaviors score+declining profit row of score value total value (i.e. list rank score)=gain behavior
For quantity * single declining profit behavior scores+the quantity * singles for doubling gain behavior double gain behavior score+double declining profit row
For quantity * singles double declining profit behavior score.
In step 605, server generates different ballot object seniority among brothers and sisters according to the evaluation score value total value of different ballot objects
List data.
In the step, server is ranked up according to the evaluation score value total value of different ballot objects, so that it may to generate difference
The list data for object seniority among brothers and sisters of voting.
In step 606, server issues the list data for customer end of generation to client and is shown to user.
In the step, server returns to visitor according to the list data being newly generated, by the result of newest list data
Family end is for display.
Connected applications example illustrates further below.
Such as it in star's ranking list of some star alliance module, is set as：The correspondence gain row of gain affective style
To be to send flower ,+1 point of a flower, 1 expense is sent to consume 100 copper coins；The corresponding declining profit behavior of declining profit affective style is to throw away egg, is thrown away
One -1 point of egg, an egg consume 120 copper coins；Doubling gain affective style corresponding, to double gain behavior be snuff beam, one
The flower number * 2 that a snuff beam=user possesses at present, a snuff beam consume 700 copper coins；Double the correspondence of declining profit affective style
Double declining profit behavior be it is mad step on, one mad to step on=the user egg number * 2 that possesses at present, and one mad to step on 900 copper coins of consumption, user
3 flowers and 3 eggs can at most be possessed.In addition, setting gain behavior weight, declining profit behavior weight, double gain behavior weight and
The value for doubling declining profit behavior weight is all 1.
Above-mentioned setting rule in scheme so according to embodiments of the present invention carries out following operation and determines commenting for ballot object
Valence score value total value (list rank score)：
Evaluate the quantity * single gain behaviors of score value total value (list rank score)=gain behavior weight * gain behaviors
Score+the quantity * single declining profit behavior scores of declining profit behavior weight * declining profit behaviors+doubles gain behavior weight * and doubles gain row
For quantity * singles double gain behavior score+double declining profit behavior weight * and double the quantity * singles of declining profit behavior to double to subtract
Beneficial behavior score=1*, which is sent, spends several * 1+1* to throw away quantity * (the flower number * that user possesses at present that egg number * 1+1* double gain behavior
2)+1* doubles the quantity * (the egg number * 2 that user possesses at present) of declining profit behavior.Wherein, the above-mentioned quantity for doubling gain behavior is
The quantity of snuff beam, the quantity for doubling declining profit behavior are the mad quantity stepped on.
About the schematic diagram of list, Fig. 7 is may refer to, Fig. 7 is that a kind of list according to an embodiment of the invention shows
It is intended to.Star's ranking list in Fig. 7 shows different ballot object (i.e. each star), also shows and is thrown away for what user selected
The icon of egg, snuff beam and the mad voting behavior stepped on.
It should be noted that if only needing to show the list of positive emotion, the weight of every behavior need to be only adjusted, is adjusted
Whole declining profit behavior weight is 0 with declining profit behavior weight setting value is doubled.Similarly, if only needing to show the list of negative sense emotion
It is single, then only needing adjust gain behavior weight and doubling the value of gain behavior weight to be 0.It should be noted each row
For weight may be set to be 0-1 between, specifically can need flexible configuration according to operation and business revenue.
In conclusion it can be found that the solution of the present invention has the following effects that：
1) present invention generates list data, not only allows for expression voter and is advised to the gain for the object degree of recognition of voting
Then, it is also contemplated that do not approve the declining profit rule of the negative sense that does not like for example, approve that very much what is for example enjoyed a lot doubles gain rule
Then, do not approve very much that is do not liked very much for example doubles declining profit rule, therefore more really more can really reflect the true of list data
Reality and accuracy, but also list is more fair, just and objective.
2) present invention generates list data, can provide more emotional expression modes to the user, emotion not only has forward direction
Gain is liked, also not the liking of negative sense declining profit, double enjoying a lot and doubling not liking very much for declining profit for gain, in this way
The attitude that more can really reflect voter, discharges the real feelings of voter.
3) present invention generates list data, and the list of a variety of different emotions can be flexibly configured according to demand by the way that weight is arranged
Singly, such as the data of positive emotion are not counted in calculating process or weight is set as 0.
4) present invention generates list data, some business can be arranged further directed to the voting behavior of each emotion and grasp
To make, such as certain voting behaviors need payment etc., pass through paid paid service so that voting behavior is converted to paid expense,
Can meet the needs of business business development.
In conclusion the solution of the present invention, can meet the release of the susceptible sense of user, list data can be made more objective
It sees, fairness and justice, in addition can be conducive to the commerciality extension for voting behavior.
Above it is described in detail according to the technique and scheme of the present invention by reference to attached drawing.
In addition, being also implemented as a kind of computer program according to the method for the present invention, which includes being used for
Execute the computer program code instruction of the above steps limited in the above method of the present invention.Alternatively, according to the present invention
Method is also implemented as a kind of computer program product, which includes computer-readable medium, in the meter
The computer program for the above-mentioned function of being limited in the above method for executing the present invention is stored on calculation machine readable medium.Ability
Field technique personnel will also understand is that, various illustrative logical blocks, module, circuit and algorithm in conjunction with described in disclosure herein
Step may be implemented as the combination of electronic hardware, computer software or both.
Flow chart and block diagram in attached drawing show that the possibility of the system and method for multiple embodiments according to the present invention is real
Existing architecture, function and operation.In this regard, each box in flowchart or block diagram can represent module, a journey
A part for sequence section or code, the part of the module, section or code include one or more for realizing defined
The executable instruction of logic function.It should also be noted that in some implementations as replacements, the function of being marked in box also may be used
With to occur different from the sequence marked in attached drawing.For example, two continuous boxes can essentially be basically executed in parallel,
They can also be executed in the opposite order sometimes, this is depended on the functions involved.It is also noted that block diagram and/or stream
The combination of each box in journey figure and the box in block diagram and or flow chart can use functions or operations as defined in executing
Dedicated hardware based system realize, or can realize using a combination of dedicated hardware and computer instructions.
Various embodiments of the present invention are described above, above description is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes will be apparent from for the those of ordinary skill in art field.The selection of term used herein, purport
In the principle, practical application or improvement to the technology in market for best explaining each embodiment, or make the art
Other those of ordinary skill can understand each embodiment disclosed herein.
Claims (12)
1. a kind of system generating list data, which is characterized in that including：
Client, the evaluation behavioral data for uploading the different dimensions inputted to setting object to server, wherein it is described not
Evaluation behavioral data with dimension corresponds to different evaluation score value, wherein the evaluation behavior number of the different dimensions to setting object input
According to including evaluation behavioral data positively or negatively, the evaluation behavioral data includes affective style and corresponding affective style behaviour
Make data；
Server, the evaluation behavioral data to the different dimensions to setting object input for being uploaded according to client, determines
The corresponding evaluation score value of evaluation behavioral data for setting object determines the different evaluation row of the setting object according to setting rule
Different set object seniority among brothers and sisters is generated according to the evaluation score value total value of different set object for the evaluation score value total value of data
List data；Wherein determine that the corresponding evaluation score value of evaluation behavioral data of setting object includes：According to the affective style
Operation data and single operation evaluation score value determine the corresponding evaluation score value of evaluation behavioral data of setting object.
2. a kind of server, which is characterized in that including：Memory and processor,
The memory stores the list number generated to the evaluation behavioral data and processor of the different dimensions of setting object input
According to；
The processor, according to the evaluation behavior number of the different dimensions to setting object input got from the memory
According to the corresponding evaluation score value of evaluation behavioral data of determining setting object, wherein the evaluation behavioral data pair of the different dimensions
Answer different evaluation score value；The evaluation score value total value of the different evaluation behavioral data of the setting object is determined according to setting rule；
According to the evaluation score value total value of different set object, the list data of different set object seniority among brothers and sisters are generated；
The evaluation behavioral data of the different dimensions wherein inputted to setting object includes evaluation behavioral data positively or negatively, institute
Commentary valence behavioral data includes affective style and corresponding affective style operation data；
Wherein determine that the corresponding evaluation score value of evaluation behavioral data of setting object includes：According to the affective style operation data
Evaluation score value corresponding with the single operation evaluation score value determination setting evaluation behavioral data of object.
3. a kind of device generating list data, which is characterized in that including：
Grading module determines setting for the evaluation behavioral data in response to getting the different dimensions to setting object input
The corresponding evaluation score value of evaluation behavioral data of object, wherein the evaluation behavioral data of the different dimensions corresponds to different evaluation point
Value；
Statistical module, the different evaluation behavioral data of the setting object for determining institute's scoring module determination according to setting rule
Evaluation score value total value；
Generation module, the total value of the evaluation score value of the different set object for being determined according to the statistical module generate
The list data of different set object seniority among brothers and sisters；
The wherein described grading module includes：
Acquisition submodule, for getting the evaluation behavioral data positively or negatively to setting object input, the evaluation row
Include affective style and corresponding affective style operation data for data；
Score value determination sub-module determines the evaluation row of setting object for the evaluation behavioral data according to the acquisition submodule
For the corresponding evaluation score value of data, wherein the evaluation behavioral data of the different dimensions corresponds to different evaluation score value；
The score value determination sub-module determines commenting for setting object according to affective style operation data and single operation evaluation score value
The corresponding evaluation score value of valence behavioral data.
4. device according to claim 3, which is characterized in that the statistical module includes：
Weight submodule, the weight for affective style operation data to be arranged；
Total value determination sub-module, the weight for being arranged according to the weight submodule, to the different evaluation of the setting object
Acquisition evaluation score value total value is weighted in the evaluation score value of behavioral data.
5. device according to claim 4, it is characterised in that：
The total value determination sub-module obtains evaluation score value total value in the following manner：
Set quantity * single gain behaviors score+declining profit of evaluation score value total value=gain behavior weight * gain behaviors of object
The quantity * single declining profit behaviors score of behavior weight * declining profit behaviors+double the quantity * that gain behavior weight * doubles gain behavior
Single, which doubles gain behavior score+double declining profit behavior weight *, to be doubled the quantity * singles of declining profit behavior and doubles declining profit behavior point
Number.
6. according to claim 3 to 5 any one of them device, which is characterized in that described device further includes：
Memory module, the evaluation behavioral data of the different dimensions to setting object input for storing client upload；
Module is issued, for issuing the list data that the different set object that the generation module generates is ranked to the client
It is shown for client.
7. a kind of method generating list data, which is characterized in that including：
In response to getting the evaluation behavioral data of the different dimensions to setting object input, the evaluation behavior of setting object is determined
The corresponding evaluation score value of data, wherein the evaluation behavioral data of the different dimensions corresponds to different evaluation score value；
The evaluation score value total value of the different evaluation behavioral data of the setting object is determined according to setting rule；
According to the evaluation score value total value of different set object, the list data of different set object seniority among brothers and sisters are generated；
Wherein, described to include to the evaluation behavioral data of the different dimensions of setting object input in response to getting：
In response to getting the evaluation behavioral data positively or negatively to setting object input, the evaluation behavioral data includes
Affective style and corresponding affective style operation data；
Wherein, the corresponding evaluation score value of evaluation behavioral data of the determining setting object includes：
Determine that the evaluation behavioral data of setting object corresponds to according to the affective style operation data and single operation evaluation score value
Evaluation score value.
8. the method according to the description of claim 7 is characterized in that the affective style be arranged different levels, different levels
Affective style corresponds to different affective style operation data evaluation score values.
9. according to the method described in claim 8, it is characterized in that, affective style setting different levels include：Emotion class
Type is set as gain, declining profit, doubles gain and doubles declining profit；The corresponding affective style operation data of the affective style includes increasing
Beneficial behavior, declining profit behavior double gain behavior and double declining profit behavior.
10. according to the method described in claim 9, it is characterized in that, described determine the setting object according to setting rule
The evaluation score value total value of different evaluation behavioral data includes：
It is total that acquisition evaluation score value is weighted according to the evaluation score value of the different evaluation behavioral data to the setting object
Value.
11. according to the method described in claim 10, it is characterized in that, the basis is to the different evaluation row of the setting object
For data evaluation score value be weighted acquisition evaluation score value total value include：
Set quantity * single gain behaviors score+declining profit of evaluation score value total value=gain behavior weight * gain behaviors of object
The quantity * single declining profit behaviors score of behavior weight * declining profit behaviors+double the quantity * that gain behavior weight * doubles gain behavior
Single, which doubles gain behavior score+double declining profit behavior weight *, to be doubled the quantity * singles of declining profit behavior and doubles declining profit behavior point
Number.
12. according to claim 7 to 11 any one of them method, it is characterised in that：
It is described to include to the evaluation behavioral data of the different dimensions of setting object input in response to getting：In response to getting visitor
The evaluation behavioral data for the different dimensions to setting object input that family end uploads；
Further include after the list data for generating different set object seniority among brothers and sisters：The different set is issued to the client
The list data for customer end of object seniority among brothers and sisters is shown.
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| US10417731B2 (en) * | 2017-04-24 | 2019-09-17 | Intel Corporation | Compute optimization mechanism for deep neural networks |
| CN107749006A (en) * | 2017-11-01 | 2018-03-02 | 广州爱九游信息技术有限公司 | Game appraisal procedure, device and equipment |
| CN110585714B (en) * | 2019-09-26 | 2022-11-08 | 腾讯科技（深圳）有限公司 | UGC element setting method, device and equipment based on block chain |
| CN114866852B (en) * | 2021-01-20 | 2024-03-05 | 腾讯科技（北京）有限公司 | Control showing method and device for interactive video, computer equipment and storage medium |
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